11168 search results - page 102 / 2234 » Abstract State Processes |
109
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ICALP
1998
Springer
15 years 8 months ago
1998
Springer
Abstract. We consider systems of finite automata performing together computation on an input string. Each automaton has its own read head that moves independently of the other head...
146
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AIIDE
2006
15 years 5 months ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
135
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ICRA
2010
IEEE
15 years 2 months ago
2010
IEEE
Abstract— We consider the problem of apprenticeship learning when the expert’s demonstration covers only a small part of a large state space. Inverse Reinforcement Learning (IR...
141
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IVA
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. The human ability to express and recognize emotions plays an important role in face-to-face communication, and as technology advances it will be increasingly important fo...
157
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ICTAI
2010
IEEE
15 years 2 months ago
2010
IEEE
Abstract--The difficulties encountered in sequential decisionmaking problems under uncertainty are often linked to the large size of the state space. Exploiting the structure of th...